Students, job seekers or professionals having basic statistical & programming knowledge and looking for core Data Science, AI and Machine Learning related careers.
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Probability & Statistics for Machine Learning I
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Probability & Statistics for Machine Learning II
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Linear Algebra for Machine Learning
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Calculus & Convex Optimization Techniques
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Lists, Maps, Stacks & Queues
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Trees & Graphs
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K-Nearest Neighbors & K-means Clustering
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The Perceptron Algorithm & SVM
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Linear & Logistic Regression
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Locality-Sensitive Hashing & Recommender Systems
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PCA and Dimensionality Reduction
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Random Forests, Decision Trees, Bagging & Boosting
This journey is designed to teach you core machine learning and AI concepts. We will cover the foundational mathematical skills for machine learning and will then take an in-depth plunge into the world of ML and Ai algorithms, different methodologies, tradeoffs and real-world applications. Students will learn latests technologies and algorithms and will gain an in-depth understanding of core ML concepts. This is a 4-month course with live classes, projects, mock interviews & placement support. Enroll today or BOOK A FREE DEMO.
What will you get?
4-Months LIVE Classes by top experts
Placement support, HR connects and personalized feedback and mentoring